Evidence mapPaperPMID 36950609Full record

ArticleHeliyon2023

Sex differences in the prevalence and clinical correlates of diabetes in Chinese patients with chronic schizophrenia.

Huiming Yan, Yanzhe Li, Shen Li, Chi Zhou, Shuochi Wei, Jie Li, Xiang-Yang Zhang

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Huiming YanLaboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Yanzhe LiLaboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Shen LiLaboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Chi ZhouLaboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Shuochi WeiCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Jie LiLaboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Xiang-Yang ZhangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex differences have been noted in schizophrenia (SCZ) and diabetes mellitus (DM); however, the effect of sex on SCZ patients with DM remains unknown. We aimed to investigate sex differences in the prevalence, demographic and clinical correlates of DM in Chinese patients with chronic SCZ. A total of 988 Han Chinese SCZ patients (male/female: 638/350) were recruited from two psychiatric hospitals in China. We used the Positive and Negative Syndrome Scale (PANSS) to evaluate the psychopathological symptoms of the patients. In addition, serum glucose and lipid levels were assayed. The prevalence of DM in female patients (57/350, 16.29%) was higher than that in male patients (79/638, 12.38%). Binary logistic regression analyses confirmed that the prevalence of DM in female patients was higher than that in male patients (

Indexed as

AntipsychoticsDiabetesPrevalenceSchizophreniaSex differences

Identifiers

PMID36950609
PMCPMC10025886

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.